Instructions for online reading group participants.
Zoom link for all online reading groups: https://feectu.zoom.us/j/98555944426
| 11/12/25 11:00 | DINOv3 Presented by Miroslav David | |
| 16/12/25 11:00 | VGGT: Visual Geometry Grounded Transformer Presented by David Kramný | |
| 20/01/26 11:00 | Around the World in 80 Timesteps: A Generative Approach to Global Visual Geolocation Presented by Ilia Zavidnyi | |
| 05/02/26 11:00 | A Kernel Approach for Vector Quantization with Guaranteed Distortion Bounds Presented by James Hooper | |
Past presentations
| 05/6/25 11:00 | MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion Presented by Jan Škvrna | |
| 3/6/25 11:00 | Radiant Foam: Real-Time Differentiable Ray Tracing Presented by Juliette Florin | |
| 29/5/25 11:00 | Your Diffusion Model is Secretly a Zero-Shot Classifier Presented by Lukáš Viceník | |
| 27/5/25 11:00 | SPAR3D: Stable Point-Aware Reconstruction of 3D Objects from Single Images Presented by Tim Lakemann | |
| 13/5/25 11:00 | Playing for Data: Ground Truth from Computer Games Presented by Petr Lendvorský | |
| 29/4/25 11:00 | GaussianCut: Interactive segmentation via graph cut for 3D Gaussian Splatting, NeurIPS 2024 Presented by Vojtěch Drahý | |
| 4/3/25 12:00 | R2Former: Unified Retrieval and Reranking Transformer for Place Recognition Presented by Václav Truhlařík | |
| 28/2/25 11:00 | ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs, ECCV 2024 Presented by Roman Šíp | |
| 25/2/25 11:00 | Random Features for Large-Scale Kernel Machines, NeurIPS 2007 Presented by Ziyu Zhou | |
| 18/2/25 11:00 | CoTracker: It is Better to Track Together, ECCV 2024 Presented by Michal Pliska | |
| 11/2/25 11:00 | Data Attribution for Text-to-Image Models by Unlearning Synthesized Images, arxiv 2024 Presented by Sena Sahin | |
| 4/2/25 11:00 | Global Structure-from-Motion Revisited Presented by Jhacson Meza | |
| 23/1/25 11:00 | Break-A-Scene: Extracting Multiple Concepts from a Single Image Presented by Jakub Hodek | |
| 21/1/25 11:00 | Diffusion Models as Data Mining Tools Presented by Ziwei Li | |
| 16/1/25 11:00 | LSD-SLAM: Large-Scale Direct Monocular SLAM Presented by Jiří Janota | |
| 19/12/24 11:00 | CLIP-DINOiser: Teaching CLIP a few DINO tricks for open-vocabulary semantic segmentation, ECCV 2024 Presented by Simona Kocour | |
| 12/12/24 11:00 | FlowMap: High-Quality Camera Poses, Intrinsics, and Depth via Gradient Descent, arxiv 2024 Presented by Tomas Musil | |
| 5/12/24 11:00 | DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation, CVPR 2023 Presented by Muris Sladić | |
| 3/12/24 11:00 | Denoising Vision Transformers, ECCV 2024 Presented by Filip Kučera | |
| 26/11/24 11:00 | Object discovery and representation networks, ECCV 2022 Presented by Ondřej Matoušek | |
| 19/11/24 11:00 | How Far Can a 1-Pixel Camera Go? Solving Vision Tasks using Photoreceptors and Computationally Designed Visual Morphology, ECCV 2024 Presented by Armin Hadžić | |
| 05/11/24 11:00 | Segment Anything, [1][2], ICCV 2023 + arxiv Presented by Andrii Yermakov | |
 | 04/07/24 11:00 | High-resolution image reconstruction with latent diffusion models from human brain activity, CVPR 2023 Presented by Akash Chaudhary, |
 | 27/06/24 11:00 | Tracking Everything Everywhere All At Once, ICCV 2023 Presented by Pavlo Yefanov, |
 | 13/06/24 11:00 | DUSt3R: Geometric 3D Vision Made Easy, CVPR 2024 Presented by Valentýn Číhala, |
 | 11/06/24 11:00 | RoMa: Robust Dense Feature Matching, CVPR 2024 Presented by Martin Cífka, |
 | 28/05/24 11:00 | Emerging Properties in Self-Supervised Vision Transformers, ICCV 2021 DINOv2: Learning Robust Visual Features without Supervision, arxiv 2024 Presented by Georgy Ponimatkin, |
 | 30/01/24 11:00 | 3D Gaussian Splatting for Real-Time Radiance Field Rendering, SIGGRAPH 2023Presented by Tomáš Jelínek, |
 | 25/01/24 11:00 | Revisiting the P3P Problem , CVPR 2023Presented by Václav Vávra, |
 | 23/01/24 11:00 | Efficient Geometry-aware 3D Generative Adversarial Networks, CVPR 2022Presented by Jan Ferbr, |
 | 18/01/24 11:00 | Adding Conditional Control to Text-to-Image Diffusion Models, ICCV 2023Presented by Klara Janouskova, |
 | 11/01/24 11:00 | Learning to Detect Scene Landmarks for Camera Localization, CVPR 2022Presented by Cardozo Shawn Moses, |
 | 10/07/23 11:00 | I^2R-Net: Intra- and Inter-Human Relation Network for Multi-Person Pose Estimation, IJCAI 2022 Presented by Miroslav Purkrábek, |
 | 10/01/23 11:00 | Drop-DTW: Aligning Common Signal Between Sequences While Dropping Outliers, NeurIPS 2021 Presented by Petr Vanc, |
 | 17/01/23 11:00 | Progressive Correspondence Pruning by Consensus Learning, ICCV 2021 Presented by Tong Wei, |
 | 19/01/23 11:00 | High-Resolution Image Synthesis with Latent Diffusion Models, CVPR 2022 Presented by Nela Petrželková, |
 | 24/01/23 11:00 | S2DNet: Learning Accurate Correspondences for Sparse-to-Dense Feature Matching, ECCV 2020 Presented by Jiří Ulrich, |
 | 26/01/23 11:00 | NeFSAC: Neurally Filtered Minimal Samples, ECCV 2022 Presented by Charalambos Tzamos, |
 | 2/02/23 11:00 | CrossTransformers: spatially-aware few-shot transfer, NeurIPS 2020 Presented by Monish Keswani, |
 | 15/12/22 11:00 | Splicing ViT Features for Semantic Appearance Transfer, CVPR 2022 Presented by Nikolaos-Antonios Ypsilantis |
 | 09/06/22 11:00 | UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction Presented by Varun Burde |
 | 07/06/22 11:00 | OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning Presented by Zdeněk Rozsypálek |
 | 02/06/22 11:00 | NeRF in detail: Learning to sample for view synthesis Presented by Diana Sungatullina |
 | 31/05/22 11:00 | Combining Label Propagation and Simple Models Out-performs Graph Neural Networks Presented by Vladan Stojnic |
 | 26/05/22 11:00 | EditGAN:High-precision semantic image editing Presented by Adela Subrtova |
 | 12/05/22 11:00 | Gradient based sample selection for online continual learning Presented by Ai Jianhang |
 | 10/05/22 11:00 | Understanding Vision Transformers Presented by Klara Janouskova |
 | 03/02/22 11:00 | Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task, CVPR 2020 Presented by Arash Amjadi, slides |
 | 01/02/22 11:00 | Deep Metric Learning with BIER: Boosting Independent Embeddings Robustly, PAMI 2018 Presented by Pavel Suma, slides |
 | 27/01/22 11:00 | Visual Camera Re-Localization Using Graph Neural Networks and Relative Pose Supervision, 3DV 2021 Presented by Afzal Ahmad, slides |
 | 25/01/22 11:00 | BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding, NAACL-HLT 2019 Presented by Ondrej Kobza, slides |
 | 20/01/22 11:00 | Self-supervised video object segmentation by motion grouping, ICCV 2021 Presented by Juliette Bertrand, slides |
 | 06/01/22 11:00 | Decision Transformer: Reinforcement Learning via Sequence Modeling, NeurIPS 2021 Presented by Aurele HAINAUT, slides |
 | 11/01/22 11:00 | Pixel-Perfect Structure-from-Motion with Featuremetric Refinement, ICCV 2021 Presented by Pietrantoni Maxime, slides |
 | 13/01/22 11:00 | Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains, NeurIPS 2020 Presented by Shubhan Patni, slides |
 | 14/12/21 11:00 | NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis,, ECCV 2020 Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields, ICCV 2021 Presented by Jonas Kulhanek , slides |
 | 07/12/21 11:00 | Convolutional Occupancy Networks, ECCV 2020 Presented by Jan Kúdelka , slides |
 | 9/12/21 11:00 | Visformer: The Vision-Friendly Transformer, ICCV 2021 Presented by Nikita Sokovnin , slides |
 | 11/11/21 11:00 | Online Class-Incremental Continual Learning with Adversarial Shapley Value, AAAI 2021 Presented by Arti Bandhana slides |
 | 26/10/21 | End-to-End Object Detection with Transformers, ECCV 2020 Presented by Volodymyr Zabulskyi slides |
 | 21/10/21 | Fast end-to-end learning on protein surfaces, CVPR 2021 Presented by Petr Kouba slides |
 | 14/10/21 | Deep semi-supervised learning with consistency loss Material: [1] [2] [3 ] Presented by Awet Haileslassie Gebrehiwot, slides, |
 | 29/07/21 | Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks Michelle A. Lee , Yuke Zhu, Peter Zachares, Matthew Tan, Krishnan Srinivasan, Silvio Savarese, Li Fei-Fei, Animesh Garg , and Jeannette Bohg, IEEE TRANSACTIONS ON ROBOTICS, 2020 Presented by Louis Montaut, slides, |
 | 22/04/21 | Domain-Adversarial Training of Neural NetworksGanin, Y., Ustinova, E., Ajakan, H., Germain, P., Larochelle, H., Laviolette, F., Marchand, M. and Lempitsky, V., JMLR 2016 Presented by Nikos Efthymiadis, slides, |
 | 02/03/21 | Transporter Networks: Rearranging the Visual World for Robotic ManipulationAndy Zeng, Pete Florence, Jonathan Tompson, Stefan Welker, Jonathan Chien, Maria Attarian, Travis Armstrong, Ivan Krasin, Dan Duong, Vikas Sindhwani, Johnny Lee, CoRL 2020 Presented by Kateryna Zorina , slides |
 | 25/02/21 | Class-Balanced Loss Based on Effective Number of SamplesYin Cui, Menglin Jia, Tsung-Yi Lin, Yang Song, Serge Belongie, CVPR 2019 Presented by Kang Cheng , slides |
 | 12/01/21 | Support-set bottlenecks for video-text representation learning, Mandela Patrick, Po-Yao Huang, Yuki Asano, Florian Metze, Alexander Hauptmann, João Henriques, Andrea Vedaldi, ICLR 2021 Presented by Tomas Soucek, slides |
 | 15/12/20 | SuperGlue: Learning Feature Matching with Graph Neural Networks Paul-Edouard Sarlin, Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich, CVPR 2020 Presented by Ilia Shipachev, slides |
 | 10/12/20 | Contrastive learning for visual representations - Part 2 Material: [1] [2] Presented by Antonin Vobecky, slides |
 | 08/12/20 | Contrastive learning for visual representations - Part 1 Material: [1] [2] Presented by Patrik Vacek, slides |
 | 01/12/20 | DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DoF RelocalizationJuan Du, Rui Wang, Daniel Cremers, ECCV 2020 Presented by Vojtěch Pánek, slides |
 | 26/11/20 | Smooth-AP: Smoothing the Path Towards Large-Scale Image RetrievalAndrew Brown, Weidi Xie, Vicky Kalogeiton, Andrew Zisserman. ECCV 2020 Presented by Yash Patel, slides |
 | 23/10/20 | Multi-Instance Classification by Max-Margin Training of Cardinality-Based Markov Networks Hossein Hajimirsadeghi and Greg Mori. PAMI 2017Presented by Dennis Baručić, slides |
 | 13/10/20 | High-Frequency Component Helps Explain the Generalization of Convolutional Neural_NetworksHaohan Wang, Xindi Wu, Zeyi Huang, Eric P. Xing. CVPR 2020Presented by Filip Naiser, slides |
 | 9/09/20 | PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost VolumeDeqing Sun, Xiaodong Yang, Ming-Yu Liu, and Jan Kautz. CVPR 2018Presented by Michal Neoral, slides |
 | 11/06/20 | Deep Hough Voting for 3D Object Detection in Point CloudsCharles Qi, Or Litany, Kaiming He, Leonidas J. Guibas. ICCV 2019Presented Jan Bayer, slides |
 | 14/05/20 | Variational Autoencoders with application to unsupervised representation learning Material: main paper, VAE background, optional1, optional2 Presented by Yash Patel, slides |
 | 14/04/20 | node2vec: Scalable feature learning for networks A. Grover, J. Leskovec. ACM SIGKDD 2016Presented by Tomáš Nováček, slides |
 | 12/03/20 | GAN Dissection: Visualizing and Understanding Generative Adversarial NetworksDavid Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba. ICLR 2019Presented by Jakub Žitný, slides |
 | 14/01/20 | Riemannian Walk for Incremental Learning: Understanding Forgetting and IntransigenceArslan Chaudhry, Puneet K. Dokania, Thalaiyasingam Ajanthan, Philip H. S. Torr, ECCV 2018.Presented by Miloš Prágr, slides |
 | 09/01/20 | LOGAN: Latent Optimisation for Generative Adversarial NetworksYan Wu, Jeff Donahue, David Balduzzi, Karen Simonyan, Timothy LillicrapPresented by Michal Šustr, slides |
 | 21/11/19 | ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustnessR. Geirhos, P. Rubisch, C. Michaelis, M. Bethge, F. Wichmann, W. Brendel, ICLR 2019Presented by Nikos Efthymiadis, slides |
 | 05/11/19 | Event-Based Motion Segmentation by Motion CompensationT. Stoffregen, G. Gallego, T. Drummond,L. Kleeman, D. Scaramuzza. ICCV 2019Presented by Holesovsky Ondrej, slides |
 | 12/09/19 | The Inverted Multi-IndexA. Babenko and V. Lempitsky, PAMI 2014Presented by Denis Efremov, slides |
 | 05/09/19 | Video Propagation NetworksV. Jampani, R. Gadde and P. Gehler, CVPR 2017Presented by Jonas Serych, slides |
 | 30/08/19 | A General Solver Based on Sparse ResultantsI. Emiris, PoSSo 1995, Presented by Pavel Trutman, slides |
 | 26/3/19 | Dynamic Graph CNN for Learning on Point CloudsY. Wang, Y. Sun, Z. Liu, S. Sarma, M. Bronstein, J. Solomon, arxiv 2018, Presented by Otakar Jašek, slides |
 | 17/1/19 | Model-Agnostic Meta-Learning for Fast Adaptation of Deep NetworksC. Finn, P. Abbeel, S. Levine, ICML 2017, Presented by Teymur Azayev, slides |
 | 20/11/18 | Semi-supervised classification with graph convolutional networksT. Kipf and M. Welling, ICLR 2017, Presented by Radim Špetlík, slides |
 | 24/05/18 | Fast edge detection using structured forests P. Dollar and L. Zitnick, PAMI 2015, Presented by Vojtěch Cvrček, slides |
 | 24/04/18 | Compressed SensingDavid L. Donoho, IEEE Transacations on Information Theory, 2006Presented by Rickard Hole Falck |
 | 27/03/18 | Dynamic Routing Between CapsulesS. Sabour, N. Frosst, G. Hinton, NIPS 2017Presented by Karel Ha, slides. |
 | 14/12/17 | Deformable Convolutional NetworksJ. Dai, H. Qi, Y. Xiong, Y. Li,. Zhang, H. Hu, Y. Wei, ICCV 2017Presented by Tomáš Jeníček, slides. |